A Secure AI-Enabled Data Governance Framework for Digital Economy Platforms

Authors

  • Anazia Eluemunor Kizito Southern Delta University, Ozoro
  • Orove Osu Joshua Southern Delta University, Ozoro
  • Onovughe Anthonia Okeme Southern Delta University, Ozoro
  • Jeroh Esemena Southern Delta University, Ozoro
  • Nwokolo Geofrey Augustine Southern Delta University, Ozoro

DOI:

https://doi.org/10.57233/ijsgs.v12i2.1086

Keywords:

Artificial Intelligence (AI), Data Governance, Digital Economy Platforms, Blockchain Technology, Cybersecurity

Abstract

The rapid expansion of digital economy platforms has created an increasing demand for secure, scalable and intelligent data governance systems capable of managing large volumes of digital transactions and sensitive information. Despite the growing adoption of digital technologies, many conventional data governance frameworks still experience major challenges such as; cybersecurity threats, poor scalability, inadequate privacy protection, inefficient governance processes and limited real-time decision-making capabilities. To address these challenges, this study presented a Secure AI-enabled data governance framework for digital economy platforms by integrating artificial intelligence, blockchain technology, cloud computing and intelligent automation mechanisms. A design-oriented and experimental system development methodology was adopted for the development and evaluation of the framework. The system was evaluated using key performance metrics including response time efficiency, precision, recall, Scalability, throughput, system availability, privacy preservation effectiveness, security performance, user satisfaction and governance efficiency. The evaluation results revealed that the framework significantly outperformed the conventional framework across all metrics. Specifically, the framework achieved an overall average performance rate of 96.68%, compared to 60.8% recorded by the conventional system. The findings indicate substantial improvements in operational efficiency, scalability, cybersecurity resilience, privacy preservation, governance effectiveness and system reliability. The study demonstrates that integrating AI-driven governance mechanisms with blockchain-supported security architectures can significantly improve transparency, trust, compliance monitoring and intelligent decision-making within digital economy platforms. Therefore, the framework provides a robust, reliable and sustainable solution for secure digital governance across sectors such as finance, healthcare, e-commerce, education and smart government systems.

Author Biographies

Anazia Eluemunor Kizito, Southern Delta University, Ozoro

Department of Information Systems and Technology,

Southern Delta University, Ozoro

Orove Osu Joshua, Southern Delta University, Ozoro

Department of Information Systems and Technology, Southern Delta University, Ozoro

Onovughe Anthonia Okeme, Southern Delta University, Ozoro

Department of Software Engineering,

Southern Delta University, Ozoro

Jeroh Esemena, Southern Delta University, Ozoro

Department of Library and Information Science,

Southern Delta University, Ozoro

Nwokolo Geofrey Augustine, Southern Delta University, Ozoro

Department of Data Science,

Southern Delta University, Ozoro

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Published

2026-07-01

How to Cite

Anazia , E. K., Orove , . O. J., Onovughe , A. O., Jeroh , . E., & Nwokolo , G. A. (2026). A Secure AI-Enabled Data Governance Framework for Digital Economy Platforms. International Journal of Science for Global Sustainability, 12(2), 54–63. https://doi.org/10.57233/ijsgs.v12i2.1086